RESEARCH AREAS
Social data
This line of research brings together specialists in computer science, statistics, and social sciences to study complex social phenomena using advanced data analysis techniques. The main focus is on developing innovative diagnostic tools that integrate multiple variables and disciplinary perspectives.
Multimodal Data
The focus of this line of research is the study of knowledge graphs and multimodal data, with the aim of developing a functional graph database engine and exploring new processing techniques for graphs that integrate different types of data (text, images, audio, video, etc.).
Emerging requirements
This line of research seeks to establish the theoretical and practical foundations on which future data-centric platforms and systems will be built. It focuses on anticipating emerging requirements—such as efficiency, explainability, expressiveness, fairness, privacy, among others—and developing tools capable of addressing them.
robust information structures
This line addresses challenges related to misinformation, hate speech, and polarization, proposing computational and social solutions to strengthen the quality of information systems and promote a more balanced understanding of reality.